Sr. Data Scientist

Konfío; México; Presencial; MXN 50,000 - 70,000; Jornada completa

Descripción de la vacante

A leading fintech company in Mexico seeks a Senior Data Scientist to develop machine learning models and enhance customer management strategies. Candidates should have a Bachelor's degree in a quantitative field, 5 years of data analytics experience, and strong proficiency in Python and SQL. The role offers growth opportunities in a collaborative environment with a competitive compensation package.

Servicios

Dynamic and collaborative work environment

Opportunities for professional growth

Competitive compensation package

Attractive benefits

Formación

• 5 years of experience performing data analytics.
• At least 3 years of experience in Data Science.
• Strong SQL knowledge and cloud services knowledge (preferably AWS).

Responsabilidades

• Develop and implement machine learning models for underwriting.
• Conduct experiments to enhance model accuracy.
• Monitor performance and retrain models based on data patterns.
• Communicate findings to non-technical stakeholders.

Conocimientos

Data analytics

Machine Learning

Statistical analysis

Python programming

SQL

Educación

Bachelor's degree in a quantitative field

Herramientas

Pandas library

AWS

Descripción del empleo

Join the Fintech revolution and build the future of finance in Mexico!

We are the leading financial technology company in Mexico, empowering more than 70,000 clients to achieve their dreams. Our mission is to empower the country's small and medium-sized enterprises with innovative solutions (financing, credit card and payments) to overcome their challenges and turn them into the engines of economic growth. Our aspiration is to be the ideal ally of entrepreneurs, contributing to the development of the community, the country and the planet.

Your Mission, Should You Choose to Accept It:

The primary goal of the Senior Data Scientist is to develop, implement, and maintain machine learning or AI models and algorithms to enhance underwriting processes and customer management strategies. This role involves continuous improvement and experimentation with models, monitoring their performance, and providing data-driven insights to support business decisions. Additionally, the role includes participating in strategic decision-making and mentoring other team members.

• Model Development and Implementation: Design, develop, and implement machine learning models and algorithms for underwriting and customer management.
• Model improvement: Design and conduct experiments to enhance existing models, ensuring their accuracy and reliability through rigorous testing, validation, and benchmarking.
• Performance Monitoring and Retraining: Implement monitoring systems to track the performance and quality of models, regularly reviewing and retraining them based on evolving data patterns and business requirements.
• Advanced Analytics and Communication: Apply advanced analytical methodologies to solve complex business challenges, presenting insights through charts and graphs, and effectively communicating findings to non-technical stakeholders.

What We're Looking For:

• Basic qualification: A Bachelor's degree in a quantitative field (e.g., Actuary, Mathematics, Physics, Statistics, Computer Science, Data Science, or related field) Plus 5 years of experience performing data analytics.
• Proven experience in Data Science (at least 3 years).
• Knowledge and experience with ML/AI models. Strong SQL knowledge. Production programming experience in Python (Class oriented) and Pandas library. Cloud Services Knowledge (Preferrable AWS).
• Statistics fundamentals: hypothesis testing, parametric models (e.g. generalized linear model, logistic model, time series model, etc), hierarchical models, A/B testing, statistical sampling methods, experiment design, simulation.

What We Offer:

• A dynamic and collaborative work environment where you can develop your full potential.
• Opportunities to learn and grow professionally using cutting-edge technologies.
• A passionate and talented team with whom you can share knowledge and experiences.
• A competitive compensation package and attractive benefits.
• The opportunity to positively impact the lives of thousands of people and contribute to the development of the country.